fix: revert

Readme.md

@@ -30,9 +30,6 @@ Is it possible to run in local this project using python with the command on you
 ```bash
 streamlit run main.py
 ```
-## News 📰
-
-- ScrapegraphAI has now his APIs! Check it out [here](https://scrapegraphai.com)!
 
 ## 🤝 Contributing
 

current_value.txt

@@ -1 +1 @@
-20866
+13154

main.py

@@ -8,17 +8,12 @@
     playwright_install,
     add_download_options
 )
-from scrapegraph_py import Client
-from scrapegraph_py.logger import sgai_logger
 
 st.set_page_config(page_title="Scrapegraph-ai demo", page_icon="🕷️")
 
 # Install playwright browsers
 playwright_install()
 
-# Initialize logger
-sgai_logger.set_logging(level="INFO")
-
 def save_email(email):
     with open("mails.txt", "a") as file:
         file.write(email + "\n")
@@ -45,35 +40,43 @@ def save_email(email):
 left_co, cent_co, last_co = st.columns(3)
 with cent_co:
     st.image("assets/scrapegraphai_logo.png")
+st.title('Scrapegraph-api')
+st.write("refill at this page")
 
-# Use password input for API key to mask it
-st.write("### You can buy the API credits [here](https://scrapegraphai.com)")
-
-api_key = st.text_input('Enter your API key:', type="password", help="API key must start with 'sgai-'")
+# Get the API key, URL, prompt, and optional schema from the user
+api_key = st.text_input('Enter your API key:')
 url = st.text_input('Enter the URL to scrape:')
 prompt = st.text_input('Enter your prompt:')
+schema = st.text_input('Enter your optional schema (leave blank if not needed):')
 
 # When the user clicks the 'Scrape' button
 if st.button('Scrape'):
-    if not api_key.startswith('sgai-'):
-        st.error("Invalid API key format. API key must start with 'sgai-'")
-    elif not url:
-        st.error("Please enter a URL to scrape")
-    elif not prompt:
-        st.error("Please enter a prompt")
+    # Set up the headers and payload for the API request
+    headers = {'Content-Type': 'application/json'}
+    payload = {
+        'api_key': api_key,
+        'url': url,
+        'prompt': prompt,
+        'schema': schema
+    }
+
+    # Make the API request
+    response = requests.post('https://api.scrapegraphai.com/smart_scraper', headers=headers, data=json.dumps(payload))
+
+    # If the request was successful
+    if response.status_code == 200:
+        # Parse the JSON response
+        data = response.json()
+
+        # Display the extracted data
+        st.write(data['result'])
+
+        # Display the remaining credits
+        st.write(f"Remaining credits: {data['credits_left']}")
+
+    # If the request was unsuccessful
     else:
-        try:
-            sgai_client = Client(api_key=api_key)
-            response = sgai_client.smartscraper(
-                website_url=url,
-                user_prompt=prompt
-            )
-            st.write(f"Request ID: {response['request_id']}")
-            st.write(f"Result: {response['result']}")
-        except Exception as e:
-            st.error(f"Error: {str(e)}")
-        finally:
-            sgai_client.close()
+        st.write(f"Error: {response.status_code}")
 
 
 left_co2, *_, cent_co2, last_co2, last_c3 = st.columns([1] * 18)

pages/2_🦿_openai.py

@@ -3,49 +3,36 @@
 from text_to_speech import text_to_speech
 
 key = st.text_input("Openai API key", type="password")
+model = st.radio(
+    "Select the model",
+    ["gpt-3.5-turbo", "gpt-3.5-turbo-0125", "gpt-4", "text-to-speech", "gpt-4o", "gpt-4o-mini"],
+    index=0,
+)
+
 url = st.text_input("base url (optional)")
 link_to_scrape = st.text_input("Link to scrape")
 prompt = st.text_input("Write the prompt")
 
-def add_download_options(result):
-    """
-    Adds download options for the results
-    Args:
-        result: The result dataframe to make downloadable
-    """
-    if result:
-        # Convert result to CSV
-        csv = result.to_csv(index=False)
-        st.download_button(
-            label="Download CSV",
-            data=csv,
-            file_name="scraping_results.csv",
-            mime="text/csv"
-        )
-
-        # Optionally, also add JSON option
-        json_str = result.to_json(orient="records")
-        st.download_button(
-            label="Download JSON",
-            data=json_str,
-            file_name="scraping_results.json",
-            mime="application/json"
-        )
-
 if st.button("Run the program", type="primary"):
-    if not key or not link_to_scrape or not prompt:
+    if not key or not model or not link_to_scrape or not prompt:
         st.error("Please fill in all fields except the base URL, which is optional.")
     else:
         st.write("Scraping phase started ...")
 
-        if url:
-            graph_result = task(key, link_to_scrape, prompt, base_url=url)
+        if model == "text-to-speech":
+            res = text_to_speech(key, prompt, link_to_scrape)
+            st.write(res["answer"])
+            st.audio(res["audio"])
         else:
-            graph_result = task(key, link_to_scrape, prompt)
+            # Pass url only if it's provided
+            if url:
+                graph_result = task(key, link_to_scrape, prompt, model, base_url=url)
+            else:
+                graph_result = task(key, link_to_scrape, prompt, model)
 
-        print(graph_result)
-        st.write("# Answer")
-        st.write(graph_result)
+            print(graph_result)
+            st.write("# Answer")
+            st.write(graph_result)
 
-        if graph_result:
-            add_download_options(graph_result)
+            if graph_result:
+                add_download_options(graph_result)

requirements.txt

@@ -1,7 +1,4 @@
-boto3==1.35.36
-langchain_core==0.3.21
-pandas==2.2.3
-Requests==2.32.3
-scrapegraph-py==1.9.0b2
-scrapegraphai==1.32.0
-streamlit==1.39.0
+pandas>=2.2.2
+scrapegraphai==1.12.0
+scrapegraphai
+streamlit>=1.0

task.py

@@ -23,15 +23,18 @@ def task(key:str, url:str, prompt:str, model:str, base_url=None):
         graph_config = {
         "llm": {
             "api_key": key,
-            "model": "openai/gpt-4",
+            "model": model,
+            "openai_api_base": base_url,
         },
 }
 
-    print(prompt)
-    print(url)
-    print(graph_config)
+    # ************************************************
+    # Create the SmartScraperGraph instance and run it
+    # ************************************************
+
     smart_scraper_graph = SmartScraperGraph(
         prompt=prompt,
+        # also accepts a string with the already downloaded HTML code
         source=url,
         config=graph_config
     )