Update app2.py

app2.py

@@ -1,87 +1,90 @@
-import openai
-import gradio as gr
-import docx  # For reading Word documents
-
-openai.api_key = "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"
-
-messages = [
-    {"role": "system", "content": "You are a chatbot that is very happy and kind. You will search the website https://www.patch-and-sparks.com/en/"},
-]
-
-
-def read_word_document(file_path):
-    """Read and return all paragraphs from the Word document."""
-    doc = docx.Document(file_path)
-    paragraphs = []
-    for paragraph in doc.paragraphs:
-        paragraphs.append(paragraph.text)
-    return paragraphs
-
-
-def search_in_doc(paragraphs, search_term):
-    """Search for the term in each paragraph of the document and return the matching paragraph."""
-    for paragraph in paragraphs:
-        if search_term.lower() in paragraph.lower():
-            return f"I found this information in the document: '{paragraph}'"
-    return "Sorry, I couldn't find that information in the document."
-
-
-
-def chatbot(input):
-    if input:
-        # Add user input to the chat
-        messages.append({"role": "user", "content": input})
-        
-        # Search for the information in the Word document
-        doc_content = read_word_document("./Info_1.docx")  # Specify the path to your Word document
-        doc_reply = search_in_doc(doc_content, input)
-        
-        ## Get the chatbot response from OpenAI
-        #chat = openai.ChatCompletion.create(
-        #    model="gpt-4", messages=messages
-        #)
-        #ai_reply = chat.choices[0].message.content
-        #messages.append({"role": "assistant", "content": ai_reply})
-        
-        # Combine the response from OpenAI and the document search
-        #combined_reply = f"{ai_reply}\n\n{doc_reply}"
-        combined_reply = f"{doc_reply}"
-        return combined_reply
-
-inputs = gr.Textbox(lines=7, label="Chat with AI")
-outputs = gr.Textbox(label="Reply")
-
-gr.Interface(fn=chatbot, inputs=inputs, outputs=outputs, title="The AI Patch & Sparks Chatbot",
-             description="Ask anything you want about Patch&Sparks",
-             theme="compact").launch(share=True)
-
-""" 
-
-import openai
-import gradio as gr
-
-openai.api_key = "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"
-
-messages = [
-    {"role": "system", "content": "You are a chatbot that is very happy and kind. You will search the website https://www.patch-and-sparks.com/en/"},
-]
-
-def chatbot(input):
-    if input:
-        messages.append({"role": "user", "content": input})
-        chat = openai.ChatCompletion.create(
-            #model="gpt-3.5-turbo", messages=messages
-            model="gpt-4o", messages=messages
-        )
-        reply = chat.choices[0].message.content
-        messages.append({"role": "assistant", "content": reply})
-        return reply
-
-inputs = gr.Textbox(lines=7, label="Chat with AI")
-outputs = gr.Textbox(label="Reply")
-
-gr.Interface(fn=chatbot, inputs=inputs, outputs=outputs, title="The AI Patch & Sparks Chatbot",
-             description="Ask anything you want about Patch&Sparks - - - -yeah",
-             theme="compact").launch(share=True)
-
+pip install openai
+pip install gradio
+
+import openai
+import gradio as gr
+import docx  # For reading Word documents
+
+openai.api_key = "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"
+
+messages = [
+    {"role": "system", "content": "You are a chatbot that is very happy and kind. You will search the website https://www.patch-and-sparks.com/en/"},
+]
+
+
+def read_word_document(file_path):
+    """Read and return all paragraphs from the Word document."""
+    doc = docx.Document(file_path)
+    paragraphs = []
+    for paragraph in doc.paragraphs:
+        paragraphs.append(paragraph.text)
+    return paragraphs
+
+
+def search_in_doc(paragraphs, search_term):
+    """Search for the term in each paragraph of the document and return the matching paragraph."""
+    for paragraph in paragraphs:
+        if search_term.lower() in paragraph.lower():
+            return f"I found this information in the document: '{paragraph}'"
+    return "Sorry, I couldn't find that information in the document."
+
+
+
+def chatbot(input):
+    if input:
+        # Add user input to the chat
+        messages.append({"role": "user", "content": input})
+        
+        # Search for the information in the Word document
+        doc_content = read_word_document("./Info_1.docx")  # Specify the path to your Word document
+        doc_reply = search_in_doc(doc_content, input)
+        
+        ## Get the chatbot response from OpenAI
+        #chat = openai.ChatCompletion.create(
+        #    model="gpt-4", messages=messages
+        #)
+        #ai_reply = chat.choices[0].message.content
+        #messages.append({"role": "assistant", "content": ai_reply})
+        
+        # Combine the response from OpenAI and the document search
+        #combined_reply = f"{ai_reply}\n\n{doc_reply}"
+        combined_reply = f"{doc_reply}"
+        return combined_reply
+
+inputs = gr.Textbox(lines=7, label="Chat with AI")
+outputs = gr.Textbox(label="Reply")
+
+gr.Interface(fn=chatbot, inputs=inputs, outputs=outputs, title="The AI Patch & Sparks Chatbot",
+             description="Ask anything you want about Patch&Sparks",
+             theme="compact").launch(share=True)
+
+""" 
+
+import openai
+import gradio as gr
+
+openai.api_key = "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"
+
+messages = [
+    {"role": "system", "content": "You are a chatbot that is very happy and kind. You will search the website https://www.patch-and-sparks.com/en/"},
+]
+
+def chatbot(input):
+    if input:
+        messages.append({"role": "user", "content": input})
+        chat = openai.ChatCompletion.create(
+            #model="gpt-3.5-turbo", messages=messages
+            model="gpt-4o", messages=messages
+        )
+        reply = chat.choices[0].message.content
+        messages.append({"role": "assistant", "content": reply})
+        return reply
+
+inputs = gr.Textbox(lines=7, label="Chat with AI")
+outputs = gr.Textbox(label="Reply")
+
+gr.Interface(fn=chatbot, inputs=inputs, outputs=outputs, title="The AI Patch & Sparks Chatbot",
+             description="Ask anything you want about Patch&Sparks - - - -yeah",
+             theme="compact").launch(share=True)
+
 """