Upload app.py

app.py

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+import gradio as gr
+import google.generativeai as genai
+from youtube_transcript_api import YouTubeTranscriptApi  # Fixed case sensitivity
+from youtube_transcript_api._errors import TranscriptsDisabled, NoTranscriptFound, VideoUnavailable
+
+# Function to extract transcript from Youtube video
+def get_transcript(video_url):
+    video_id = video_url.split("v=")[1].split("&")[0]
+    transcript = YouTubeTranscriptApi.get_transcript(video_id, languages=["en", "tr"])  # Fixed case sensitivity
+    raw_text = " ".join([entry["text"] for entry in transcript])
+    return raw_text
+
+# Function to summarize or translate the transcript
+def fn_sum_text(transkript_text, word_count, model_sel, lang_sel, action_sel, GEMINI_API_KEY):
+    genai.configure(api_key=GEMINI_API_KEY) # Initializing Gemini AI API with the provided key
+
+    model = genai.GenerativeModel(model_sel) # Creating a model instance based on selected model
+
+    # Creating the prompt for AI processing
+    prompt = f"{transkript_text} metni {word_count} sayıda kelimeyle {lang_sel} dilinde {action_sel}"
+
+    response = model.generate_content(
+        contents=[prompt] # Sending the prompt to the AI model
+    )
+
+    return response.text # Returning the generated response
+
+# Creating the Gradio UI
+demo = gr.Blocks(theme=gr.themes.Citrus()) # Initializing Gradio Blocks with Citrus theme
+with demo:
+    gr.Markdown("## Youtube Video Url Çeviri-Özet Gemini API") # Title for UI
+
+    with gr.Row(): # Creating a row layout
+        with gr.Column(): # Left column for input fields
+            video_url = gr.Textbox(placeholder="Youtube Video URL") # Input field for video URL
+            trs_btn = gr.Button("Transkripti Al") # Button to fetch transcript
+            GEMINI_API_KEY = gr.Textbox(placeholder="GEMINI_API_KEY", type="password", show_label=False) # API key input
+
+            word_count = gr.Slider(minimum=50, maximum=1000, value=200, step=10, label="Kelime Sayısı Seçimi") # Word count Selection
+
+            model_sel = gr.Dropdown(
+                choices=["gemini-2.0-flash", "gemini-2.0-flash-lite", "gemini-1.5-pro"],
+                value="gemini-2.0-flash",
+                label="Model Seçimi"
+            ) # Dropdown for selecting AI model
+
+            lang_sel = gr.Dropdown(
+                choices=['Türkçe', 'İngilizce', 'Almanca', 'Rusça', 'İspanyolca'],
+                value="Türkçe",
+                label="Dil Seçimi"
+            ) # Dropdown for language selection
+
+            action_sel = gr.Dropdown(
+                choices=["Özetle", "Tam çeviri yap."],
+                value="Özetle",
+                label="İşlem"
+            ) # Dropdown to choose between summary and full translation
+
+            sum_btn = gr.Button("Özetle") # Button to generate summary
+
+        with gr.Column(): # Right column for output fields
+            transkript_text = gr.Textbox(label="Transkripti", lines=5) # Textbox to display transcript
+            sum_text = gr.Textbox(label="Özet", lines=5) # Textbox to display summary or translation
+
+    trs_btn.click(
+        fn=get_transcript, # Function to get transcript
+        inputs=video_url, # Input : Youtube URL
+        outputs=transkript_text # Output : Transcript Text
+    )
+
+    sum_btn.click(
+        fn=fn_sum_text, # Function to summarize/translate transcript
+        inputs=[transkript_text, word_count, model_sel, lang_sel, action_sel, GEMINI_API_KEY], # Inputs
+        outputs=sum_text # Output: Summary/translated text
+
+    )
+
+demo.launch() # Launching Gradio app
+
+
+
+
+
+