Update app.py

app.py

@@ -112,49 +112,34 @@ def copy_to_clipboard(text):
     components.html(copy_icon_html, height=60)
 
 
-def save_feedback_to_excel(name, email, feedback):
-    """Saves feedback to an Excel file."""
-    feedback_file = 'feedbacks.xlsx'
+def send_feedback_via_email(name, email, feedback):
+    """Sends an email with feedback details."""
+    smtp_server = 'smtp.office365.com'  
+    smtp_port = 465  # Typically 587 for TLS, 465 for SSL
+    smtp_user = os.getenv("EMAIL_ADDRESS") 
+    smtp_password = os.getenv("Password")   
+
+    msg = MIMEMultipart()
+    msg['From'] = smtp_user
+    msg['To'] = "wajahat698@gmail.com"
+    msg['Subject'] = 'Feedback Received'
     
-    # Create a DataFrame with the feedback
-    data = {
-        'Timestamp': [datetime.now()],
-        'Name': [name],
-        'Email': [email],
-        'Feedback': [feedback]
-    }
-    df = pd.DataFrame(data)
+    body = f"Feedback received from {name}:\n\n{feedback}"
+    msg.attach(MIMEText(body, 'plain'))
 
-    if os.path.exists(feedback_file):
-        try:
-            # Attempt to load the existing file
-            existing_df = pd.read_excel(feedback_file, engine='openpyxl')
-            # Append the new feedback
-            df = pd.concat([existing_df, df], ignore_index=True)
-        except ValueError as e:
-            st.error(f"ValueError: {e} - The file might be corrupted or not an Excel file.")
-            # Create a new file if reading fails
-            df.to_excel(feedback_file, index=False, engine='openpyxl')
-            st.success("New feedback file created and feedback saved!")
-            return
-        except Exception as e:
-            st.error(f"Error reading existing feedback file: {e}")
-            # Create a new file if reading fails
-            df.to_excel(feedback_file, index=False, engine='openpyxl')
-            st.success("New feedback file created and feedback saved!")
-            return
-    else:
-        # File doesn't exist, just create it
-        df.to_excel(feedback_file, index=False, engine='openpyxl')
-        st.success("Feedback file created and feedback saved!")
-        return
-    
     try:
-        # Save to Excel using the openpyxl engine
-        df.to_excel(feedback_file, index=False, engine='openpyxl')
-        st.success("Feedback saved successfully!")
+        with smtplib.SMTP(smtp_server, smtp_port, timeout=10) as server:
+            server.set_debuglevel(1)  # Enable debug output for troubleshooting
+            server.starttls()  
+            server.login(smtp_user, smtp_password)
+            server.sendmail(smtp_user, email, msg.as_string())
+            st.success("Feedback sent via email successfully!")
+    except smtplib.SMTPConnectError:
+        st.error("Failed to connect to the SMTP server. Check server settings and network connectivity.")
+    except smtplib.SMTPAuthenticationError:
+        st.error("Authentication failed. Check email and password.")
     except Exception as e:
-        st.error(f"Error saving feedback to Excel: {e}")
+        st.error(f"Error sending email: {e}")
 
 
 def clean_text(text):
@@ -166,9 +151,11 @@ def clean_text(text):
     text = re.sub(r'</span>', '', text)
     text = re.sub(r'<i[^>]*>', '', text)
     text = re.sub(r'</i>', '', text)
+  
+             
     
-    # Preserve and correctly format markdown links
-    text = re.sub(r'\[([^\]]+)\]\((https?://[^\)]+)\)', r'\1: \2', text)
+    # Preserve and correctly format markdown links (don't modify URLs)
+    #text = re.sub(r'\[([^\]]+)\]\((https?://[^\)]+)\)', r'\1: \2', text)
     
     # Split the text into paragraphs
     paragraphs = text.split('\n\n')
@@ -346,8 +333,11 @@ prompt_message = f"""
                                            Strictly DO NOT generate imaginary/Creative content . 
                                            When asking for trust builders it has tibe returned short/concised  facts & figures as dot points.
                                            All the outputs should be in paragraph tags except heading .
-                                           Always provide clickable source links.
+                                           Always Search and Provide relevant clickable source links directly related to the  point mentioned.
+
                                            Respond directly to the query.
+                                           Strictly DO NOT include `<span>`, '<i>', or any other unnecessary HTML tags in your response.
+
                                            - DO NOT include column names like "Stability Trust," "Development Trust," "Relationship Trust," "Competence Trust," "Benefit Trust," or "Vision Trust" in tables or anywhere in the response.
   
                                            - When creating tables, replace the trust bucket names with descriptive phrases:
@@ -584,7 +574,7 @@ if prompt :
         try:
             # Generate response using the agent executor
             output = agent_executor.invoke({
-                    "input": f" {prompt} . Always INCLUDE & Be specific with -numbers, -dates,-people, and  -[$ dollar amounts] .* Search and provide accurate source links. Respond directly to the query without any introductory phrases or meta-commentary. Your response should be natural and read as if it's addressing the query immediately, without any preamble. Use creative techniques like metaphors, analogies, and juxtaposition to enhance the content. Interconnect ideas smoothly to create meaning for the reader.Always write in nicely flowing text and create an active language headline. Avoid using colons in the sub-headings and incorporate a creative technique in every headline and sub-header. Interweave the examples contextually to create meaning for donors and beneficiaries. When asked about to write annual report ONLY THEN  write report in 2-3 pargagraphs(with no sub-headings) and end then  : do mention  these 3 in sub headings with example related to the report: -example proof points , -Heuristics used , -creative techniques used (DO-NOT MENTION THIS WHEN ASKED TO WRITE EMAIL or news letter). When asked about email  news letter or news letter it should be in proper email format . DO NOT USE COLONS in the sub-headers Otherwise ignore it . DONOT WRITE  CONCLUSION in the end related to given prompt. remove all tags present with your response so response format is great. ",
+                    "input": f" {prompt} . Always Be specific with numbers, dates, people, and $dollar amounts( Do Mention them ). **Important** -Search and provide correct source links for each point . Respond directly to the query without any introductory phrases or meta-commentary. Your response should be natural and read as if it's addressing the query immediately, without any preamble. Use creative techniques like metaphors, analogies, and juxtaposition to enhance the content. Interconnect ideas smoothly to create meaning for the reader.Always write in nicely flowing text and create an active language headline. Avoid using colons in the sub-headings and incorporate a creative technique in every headline and sub-header. Interweave the examples contextually to create meaning for donors and beneficiaries. When asked about to write annual report ONLY THEN  write report in 2-3 pargagraphs(with no sub-headings) and end then  : do mention  these 3 in sub headings with example related to the report: -example proof points , -Heuristics used , -creative techniques used (DO-NOT MENTION THIS WHEN ASKED TO WRITE EMAIL or news letter). When asked about email  news letter or news letter it should be in proper email format . DO NOT USE COLONS in the sub-headers Otherwise ignore it . DONOT WRITE  CONCLUSION in the end related to given prompt. remove all tags present with your response so response format is great. ",
                 "chat_history": st.session_state.chat_history
             })
             full_response = output["output"]
@@ -597,7 +587,7 @@ if prompt :
                 suggestion = random.choice(suggestions)
                 cleaned_text += f"\n\n**Trust Tip**: {trust_tip}  \n\n **Suggestion**: {suggestion}"
             
-            st.write(cleaned_text, unsafe_allow_html=True)
+            st.markdown(cleaned_text , unsafe_allow_html=True)