Create app.py

app.py

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+import streamlit as st
+from transformers import pipeline
+
+st.set_page_config(page_title="Generate Your Tweet and Toxicity Analysis",
+                   page_icon="![image/png](https://cdn-uploads.huggingface.co/production/uploads/66f6b4f934e277e391ccbf93/F7rRfSUX7xBPfmUzG3Mn5.png)")
+
+st.header("Please writedown the first word of a Tweet")
+uploaded_file = st.file_uploader("Select an Image...")
+
+if uploaded_file is not None:
+    print(uploaded_file)
+    bytes_data = uploaded_file.getvalue()
+    with open(uploaded_file.name, "wb") as file:
+        file.write(bytes_data)
+    st.image(uploaded_file, caption="Uploaded Image",
+             use_column_width=True)
+
+    #Stage 1: Image to Text
+    st.text('Processing img2text...')
+    scenario = img2text(uploaded_file.name)
+    st.write(scenario)
+
+    #Stage 2: Text to Story
+    st.text('Generating a story...')
+    story = text2story(scenario)
+    st.write(story)
+
+    #Stage 3: Story to Audio data
+    st.text('Generating audio data...')
+    audio_data =text2audio(story)
+
+    # Play button
+    if st.button("Play Audio"):
+        st.audio(audio_data['audio'],
+                    format="audio/wav",
+                    start_time=0,
+                    sample_rate = audio_data['sampling_rate'])