add emails

Author: VinciGit00

__pycache__/text_to_speech.cpython-311.pyc

@@ -8,6 +8,10 @@
 st.set_page_config(page_title="Scrapegraph-ai demo",
     page_icon="🕷️")
 
+def save_email(email):
+    with open("mails.txt", "a") as file:
+        file.write(email + "\n")
+
 with st.sidebar:
     st.write("Official demo for [Scrapegraph-ai](https://github.com/VinciGit00/Scrapegraph-ai) library")
     st.markdown("""---""")
@@ -23,12 +27,25 @@
     st.markdown("""---""")
     st.write("You want to suggest tips or improvements? Contact me through email to [email protected]")
 
+
+    # Text field for email input
+    st.write("Write your email to subscribe to the newsletter")
+    email_input = st.text_input("Enter your email:")
+
+    # Button to save email
+    if st.button("Save Email"):
+        if email_input:
+            save_email(email_input)
+            st.success("Email saved successfully!")
+        else:
+            st.warning("Please enter an email before saving.")
+
 st.title("Scrapegraph-ai")
 left_co, cent_co, last_co = st.columns(3)
 with cent_co:
     st.image("assets/scrapegraphai_logo.png")
 
-key = st.text_input("API key", type="password")
+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"],
@@ -49,14 +66,15 @@
             st.write(res["answer"])
             st.audio(res["audio"])
         else:
-            (true_lens_result, graph_result) = task(key, link_to_scrape, prompt, model)
+            graph_result = task(key, link_to_scrape, prompt, model)
 
+            print(graph_result)
             st.write("# Answer")
-            st.write(graph_result[0]) 
+            st.write(graph_result) 
 
-            if graph_result[0]:
-                json_str = json.dumps(graph_result[0], indent=4)
-                df =  pd.DataFrame(graph_result[0])
+            if graph_result:
+                json_str = json.dumps(graph_result, indent=4)
+                df =  pd.DataFrame(graph_result)
 
                 st.download_button(
                     label="Download JSON",

mails.txt

@@ -1,2 +1,2 @@
 pandas==2.0.3
-scrapegraphai==0.0.7
+scrapegraphai==0.2.3

main.py

@@ -1,4 +1,4 @@
-from scrapegraphai.evaluators import TrulensEvaluator
+from scrapegraphai.graphs import SmartScraperGraph
 
 def task(key:str, url:str, prompt:str, model:str):
     """ 
@@ -13,15 +13,23 @@ def task(key:str, url:str, prompt:str, model:str):
         - results_df (pd.Dataframe()): result as padnas df
     """ 
 
-    llm_config = {
+    graph_config = {
+        "llm": {
             "api_key": key,
-            "model_name": model,
+            "model": model,
+        },
     }
 
-    trulens_evaluator = TrulensEvaluator(key)
+    # ************************************************
+    # Create the SmartScraperGraph instance and run it
+    # ************************************************
 
-    list_of_inputs = [
-        (prompt, url, llm_config),
-    ]
+    smart_scraper_graph = SmartScraperGraph(
+        prompt=prompt,
+        # also accepts a string with the already downloaded HTML code
+        source=url,
+        config=graph_config
+    )
 
-    return trulens_evaluator.evaluate(list_of_inputs, dashboard=False)
+    result = smart_scraper_graph.run()
+    return result

requirements.txt

@@ -1,4 +1,4 @@
-from scrapegraphai.graphs import SpeechSummaryGraph
+from scrapegraphai.graphs import SpeechGraph
 
 def text_to_speech(api_key: str, prompt: str, url: str):
     """Reads text after the prompt from a given URL.
@@ -16,5 +16,5 @@ def text_to_speech(api_key: str, prompt: str, url: str):
     audio_file = "audio_result.mp3"
 
     # Create and run the speech summary graph
-    speech_summary_graph = SpeechSummaryGraph(prompt, url, llm_config, audio_file)
+    speech_summary_graph = SpeechGraph(prompt, url, llm_config, audio_file)
     return speech_summary_graph.run()