Update app.py

app.py

@@ -20,62 +20,62 @@ class GUI:
 
 
 
-    with open("./logo.png", "rb") as f:
-        image_data = f.read()
-        image_base64 = base64.b64encode(image_data).decode("utf-8")
+with open("./logo.png", "rb") as f:
+    image_data = f.read()
+    image_base64 = base64.b64encode(image_data).decode("utf-8")
     
-    title = f"""
-        <h2 style="background-image: linear-gradient(to right, #3A5FCD, #87CEFA); -webkit-background-clip: text;
-            -webkit-text-fill-color: transparent; text-align: center;">
-            Speech Emotion Recognition
-        </h2>
+title = f"""
+    <h2 style="background-image: linear-gradient(to right, #3A5FCD, #87CEFA); -webkit-background-clip: text;
+        -webkit-text-fill-color: transparent; text-align: center;">
+        Speech Emotion Recognition
+    </h2>
     """
 
-    description = f"""
-    <div style="display: flex; align-items: center; justify-content: center; flex-direction: column;">
-        <p style="font-size: 18px; color: #4AAAFF; text-align: center;">
-            Extract the emotion and tone, Simply upload the audio or text!
+description = f"""
+<div style="display: flex; align-items: center; justify-content: center; flex-direction: column;">
+    <p style="font-size: 18px; color: #4AAAFF; text-align: center;">
+        Extract the emotion and tone, Simply upload the audio or text!
+    </p>
+    <div style="display: flex; align-items: center; margin-bottom: 0px;">
+        <img src='data:image/jpeg;base64,{image_base64}' width='50' height='30' style="margin-right: 5px;"/>
+        <p style="font-size: 14px; color: #555;">
+            Disclaimer: This web app is for demonstration purposes only and not intended for commercial use. Contact: [email protected] for full solution.
         </p>
-        <div style="display: flex; align-items: center; margin-bottom: 0px;">
-            <img src='data:image/jpeg;base64,{image_base64}' width='50' height='30' style="margin-right: 5px;"/>
-            <p style="font-size: 14px; color: #555;">
-                 Disclaimer: This web app is for demonstration purposes only and not intended for commercial use. Contact: [email protected] for full solution.
-            </p>
-        </div>
     </div>
-    """
+</div>
+"""
     
 
-    with gr.Tab("Upload PDF File"):
-        pdf_input = gr.File(label="PDF File")
-        api_input = gr.Textbox(label="OpenAI API Key")
-        result = gr.Textbox(label="PDF Summary")
-        upload_button = gr.Button("Start Analyse")
-    with gr.Tab("Ask question about your PDF"):
-        question_input = gr.Textbox(label="Your Question", placeholder="Authors of this paper?")
-        answer = gr.Textbox(label="Answer")
-        ask_button = gr.Button("Ask")
-    with gr.Accordion("About this project"):
-        gr.Markdown(
-            """## CHATGPT-PAPER-READER📝 
-            This repository provides a simple interface that utilizes the gpt-3.5-turbo 
-            model to read academic papers in PDF format locally. You can use it to help you summarize papers, 
-            create presentation slides, or simply fulfill tasks assigned by your supervisor.\n 
-            [Github](https://github.com/talkingwallace/ChatGPT-Paper-Reader)""")
+with gr.Tab("Upload PDF File"):
+    pdf_input = gr.File(label="PDF File")
+    api_input = gr.Textbox(label="OpenAI API Key")
+    result = gr.Textbox(label="PDF Summary")
+    upload_button = gr.Button("Start Analyse")
+with gr.Tab("Ask question about your PDF"):
+    question_input = gr.Textbox(label="Your Question", placeholder="Authors of this paper?")
+    answer = gr.Textbox(label="Answer")
+    ask_button = gr.Button("Ask")
+with gr.Accordion("About this project"):
+    gr.Markdown(
+    """## CHATGPT-PAPER-READER📝 
+        This repository provides a simple interface that utilizes the gpt-3.5-turbo 
+        model to read academic papers in PDF format locally. You can use it to help you summarize papers, 
+        create presentation slides, or simply fulfill tasks assigned by your supervisor.\n 
+        [Github](https://github.com/talkingwallace/ChatGPT-Paper-Reader)""")
     
 
-    app = GUI()
-    def start_analyse(api_key, pdf_file):
-        return app.analyse(api_key, pdf_file)
+app = GUI()
+def start_analyse(api_key, pdf_file):
+    return app.analyse(api_key, pdf_file)
 
-    def start_ask(question):
-        return app.ask_question(question)
+def start_ask(question):
+    return app.ask_question(question)
 
-    iface = gr.Interface(fn=start_analyse,inputs=["text", "file"],outputs="text",title=title,description=description)
-    upload_button = iface.get_widget("file")
-    upload_button.label = "Upload PDF File"
-    question_input = gr.inputs.Textbox(label="Your Question", placeholder="Authors of this paper?")
-    ask_button = gr.Button("Ask")
-    iface.add_input(question_input)
-    iface.add_output(ask_button)
-    iface.launch()
+iface = gr.Interface(fn=start_analyse,inputs=["text", "file"],outputs="text",title=title,description=description)
+upload_button = iface.get_widget("file")
+upload_button.label = "Upload PDF File"
+question_input = gr.inputs.Textbox(label="Your Question", placeholder="Authors of this paper?")
+ask_button = gr.Button("Ask")
+iface.add_input(question_input)
+iface.add_output(ask_button)
+iface.launch()