Duplicate from omkarb09/gpt2_sentiment

Co-authored-by: Omkar Bhatkande <omkarb09@users.noreply.huggingface.co>

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README.md

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+---
+title: Gpt2 Sentiment
+emoji: 💻
+colorFrom: indigo
+colorTo: yellow
+sdk: streamlit
+sdk_version: 1.17.0
+app_file: app.py
+pinned: false
+license: mit
+duplicated_from: omkarb09/gpt2_sentiment
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import streamlit as st
+import math
+import tensorflow as tf
+from transformers import GPT2Tokenizer, TFGPT2Model
+
+st.title("GPT2 Sentiment Analysis")
+st.write('Model detects if a specific tweet has positive or negative sentiment')
+tweet = st.text_input("Enter your tweet", '')
+#st.write(f"Hello {name}!")
+
+PAD_TOKEN = "<|pad|>"
+EOS_TOKEN = "<|endoftext|>"
+MAX_LENGTH=20
+# this will download and initialize the pre trained tokenizer
+tokenizer = GPT2Tokenizer.from_pretrained("gpt2",pad_token=PAD_TOKEN,eos_token=EOS_TOKEN,max_length=MAX_LENGTH,is_split_into_words=True)
+
+model = TFGPT2Model.from_pretrained("gpt2", use_cache=False,pad_token_id=tokenizer.pad_token_id,eos_token_id=tokenizer.eos_token_id)
+model.training = True
+model.resize_token_embeddings(len(tokenizer))
+
+for layer in model.layers:
+    layer.trainable = False
+    
+input = tf.keras.layers.Input(shape=(None,), dtype='int32')
+mask = tf.keras.layers.Input(shape=(None,), dtype='int32')
+x = model(input, attention_mask=mask)
+#x = x.last_hidden_state[:, -1]
+x = tf.reduce_mean(x.last_hidden_state, axis=1)
+x = tf.keras.layers.Dense(16, activation='relu')(x)
+x = tf.keras.layers.Dropout(0.3)(x)
+output = tf.keras.layers.Dense(2, activation='softmax')(x)
+
+clf = tf.keras.Model([input, mask], output)
+
+clf.load_weights('./saved_weights/GPT2_sentiment')
+
+#text="@newedge thanks for the follow, and the new icon looks great"
+
+sample_text=[tweet]
+EOS_TOKEN = "<|endoftext|>"
+sample_text=[str(ex) + EOS_TOKEN for ex in sample_text]
+
+sample_text_ = [tokenizer(str(x), return_tensors='tf', max_length=MAX_LENGTH, truncation=True, pad_to_max_length=True, add_special_tokens=True)['input_ids'] for x in sample_text]
+
+sample_text_mask_ = [tokenizer(str(x), return_tensors='tf', max_length=MAX_LENGTH, truncation=True, pad_to_max_length=True, add_special_tokens=True)["attention_mask"] for x in sample_text]
+
+pred = clf.predict([sample_text_, sample_text_mask_])
+
+#pred_out = tf.math.argmax(pred, axis=1)
+#pred_out=pred_out.numpy()
+
+#st.write(f"Hello {sample_text[0]}!")
+positive = round(pred[0][1],4)
+negative = round(pred[0][0],4)
+
+st.write(f"Positive Sentiment Prediction:  {positive}")
+st.write(f"Negative Sentiment Prediction:  {negative}")
+
+st.header('Below samples are outside of train or test data')
+st.header('Sample Positive Sentiment Tweets')
+st.write(f"watchin Espn's First Take! my favorite mornin show! lol Skip is great tv! fyi Im a Witness!")
+st.write(f"I'm eating cheezits...with TWO flavors!  sharp cheddar &amp; parmesan. :-D")
+st.write(f"Just drunk a coffe,but I'm still sleeping lol...now drink a fresh lemonade and eat some marshmallows mmm...then study guitar!")
+st.write(f"On way home blasting mcfly in the back of the car in the sun good times ")
+st.write(f"@AshenDestiny Just had a look at ur updates..quite thoughtful ones..")
+
+st.header('Sample Negative Sentiment Tweets')
+st.write(f"Man, I so desperately do NOT want to be doing this freelance work. Unfortunately, it looks like I'll be doing it the rest of the weekend.")
+st.write(f"Is watching ripley's believe it or not. Totally bored.")
+st.write(f"not been able to tweet today  at my dads and my sister had taken over the laptop, i was going to use my phone but it took all my credit :O")
+st.write(f"Ughh I hate being broke  does anyone know of any jobs??")
+st.write(f"Just realized I will miss th destroy build destroy premiere tonight.  I have failed @AndrewWK.")

requirements.txt

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+streamlit==1.19.0
+tensorflow==2.10.1
+transformers==4.26.1

saved_weights/GPT2_sentiment.data-00000-of-00001

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a00fcb28f85cf50e52d97dcf054bf6a80323e60145f11e9735859bd50a7737a6
+size 806725585

saved_weights/checkpoint

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+model_checkpoint_path: "GPT2_sentiment"
+all_model_checkpoint_paths: "GPT2_sentiment"