Update app.py

app.py

@@ -23,33 +23,33 @@
 
 
 
-# import gradio as gr
-# # Creating a gradio app using the inferene API
-# App = gr.Interface.load("huggingface/AmpomahChief/sentiment_analysis_on_covid_tweets",
-#   title="COVID 19 tweets sentiment analysis", description ="This is a sentiment analysis on COVID 19 tweets using pretrained model on hugging face",
-#  allow_flagging=False, examples=[["Input your text here"]]
-# )
+import gradio as gr
+# Creating a gradio app using the inferene API
+App = gr.Interface.load("huggingface/AmpomahChief/sentiment_analysis_on_covid_tweets",
+  title="COVID 19 tweets sentiment analysis", description ="This is a sentiment analysis on COVID 19 tweets using pretrained model on hugging face",
+ allow_flagging=False, examples=[["Input your text here"]]
+)
 
-# App.launch()
+App.launch()
 
 
 
 
 
-import gradio as gr
-from transformers import pipeline
-import transformers
+# import gradio as gr
+# from transformers import pipeline
+# import transformers
 
-Model = transformers.AutoModel.from_pretrained('AmpomahChief/sentiment_analysis_on_covid_tweets')
-pipeline = pipeline(task="image-classification", model=Model)
+# Model = transformers.AutoModel.from_pretrained('AmpomahChief/sentiment_analysis_on_covid_tweets')
+# pipeline = pipeline(task="image-classification", model=Model)
 
-def predict(inputs):
-    input_ids = transformers.BertTokenizer.from_pretrained('AmpomahChief/sentiment_analysis_on_covid_tweets').encode(inputs, return_tensors='pt')
-    output = model(input_ids)[0]
-    return output
+# def predict(inputs):
+#     input_ids = transformers.BertTokenizer.from_pretrained('AmpomahChief/sentiment_analysis_on_covid_tweets').encode(inputs, return_tensors='pt')
+#     output = model(input_ids)[0]
+#     return output
 
-# Create a Gradio interface for the model
-interface = gr.Interface(fn=predict, inputs=gr.Textbox(prompt="Input text:"), outputs=gr.Textbox(prompt="Model output:"))
+# # Create a Gradio interface for the model
+# interface = gr.Interface(fn=predict, inputs=gr.Textbox(prompt="Input text:"), outputs=gr.Textbox(prompt="Model output:"))
 
-# Launch the interface
-interface.launch()
+# # Launch the interface
+# interface.launch()