Upload app.py

app.py

@@ -80,7 +80,8 @@ def displayMetricStatsUntrained():
     return "No statistics to display for untrained models"
 
 def displayMetricStatsText():
-    file_name = 'events.out.tfevents.distilbertSA-conventional.0'
+    #file_name = 'events.out.tfevents.distilbertSA-conventional.0'
+    file_name = hf_hub_download(repo_id="Intradiction/text_classification_NoLORA", filename="runs/Nov28_21-52-51_81dc5cd53c46/events.out.tfevents.1701208378.81dc5cd53c46.1934.0")
     event_acc = event_accumulator.EventAccumulator(file_name,
     size_guidance={
     event_accumulator.COMPRESSED_HISTOGRAMS: 500,
@@ -125,7 +126,8 @@ def displayMetricStatsTextTCLora():
     return metrics
 
 def displayMetricStatsTextNLINoLora():
-    file_name = 'events.out.tfevents.NLI-Conventional.1'
+    #file_name = 'events.out.tfevents.NLI-Conventional.1'
+    file_name = hf_hub_download(repo_id="Intradiction/NLI-Conventional-Fine-Tuning", filename="runs/Feb15_15-44-46_d5fea890778d/events.out.tfevents.1708014218.d5fea890778d.473.1")
     event_acc = event_accumulator.EventAccumulator(file_name,
     size_guidance={
     event_accumulator.COMPRESSED_HISTOGRAMS: 500,
@@ -190,7 +192,8 @@ def displayMetricStatsTextSTSLora():
     
     return metrics
 def displayMetricStatsTextSTSNoLora():
-    file_name = 'events.out.tfevents.STS-Conventional.0'
+    #file_name = 'events.out.tfevents.STS-Conventional.0'
+    file_name = hf_hub_download(repo_id="rajevan123/STS-Conventional-Fine-Tuning", filename="runs/Mar15_15-21-09_020acc63b803/events.out.tfevents.1710516070.020acc63b803.414.0")
     event_acc = event_accumulator.EventAccumulator(file_name,
     size_guidance={
     event_accumulator.COMPRESSED_HISTOGRAMS: 500,
@@ -253,7 +256,6 @@ def displayMetricStatsGraph():
 #         response = ("1 to 10")
 #     else:
 #         response = ("whatever man whatever manwhatever manwhatever manwhatever manwhatever manwhatever manwhatever manwhatever manwhatever manwhatever manwhatever man")
-
 #     history.append((message, response))
 #     return history, history
 
@@ -287,7 +289,8 @@ with gr.Blocks(
                 inp = gr.Textbox(placeholder="Prompt",label= "Enter Query")
                 btn = gr.Button("Run")
                 btnTextClassStats = gr.Button("Display Training Metrics")
-                btnTensorLink = gr.Button(value="View Tensorboard Graphs", link="https://huggingface.co/Intradiction/text_classification_NoLORA/tensorboard")
+                btnTensorLinkTCNoLora = gr.Button(value="View Conventional Training Graphs", link="https://huggingface.co/Intradiction/text_classification_NoLORA/tensorboard")
+                btnTensorLinkTCLora = gr.Button(value="View LoRA Training Graphs", link="https://huggingface.co/Intradiction/BERT-SA-LORA/tensorboard")
                 gr.Examples(
                     [
                         "I thought this was a bit contrived",
@@ -316,7 +319,7 @@ with gr.Blocks(
         btn.click(fn=distilBERTwithLORA_fn, inputs=inp, outputs=TextClassOut2)
         btnTextClassStats.click(fn=displayMetricStatsUntrained, outputs=TextClassUntrained)
         btnTextClassStats.click(fn=displayMetricStatsText, outputs=TextClassNoLoraStats)
-        btnTextClassStats.click(fn=displayMetricStatsTextTCLora, outputs=TextClassLoraStats) #to be changed
+        btnTextClassStats.click(fn=displayMetricStatsTextTCLora, outputs=TextClassLoraStats) 
 
     with gr.Tab("Natural Language Inferencing"):
          with gr.Row():
@@ -335,7 +338,8 @@ with gr.Blocks(
                 nli_p2 = gr.Textbox(placeholder="Prompt Two",label= "Enter Query")
                 nli_btn = gr.Button("Run")
                 btnNLIStats = gr.Button("Display Training Metrics")
-                btnTensorLink1 = gr.Button(value="View Tensorboard Graphs", link="https://huggingface.co/Intradiction/text_classification_NoLORA/tensorboard") #to be changed
+                btnTensorLinkNLICon = gr.Button(value="View Conventional Training Graphs", link="https://huggingface.co/Intradiction/NLI-Conventional-Fine-Tuning/tensorboard") 
+                btnTensorLinkNLILora = gr.Button(value="View LoRA Training Graphs", link="")
                 gr.Examples(
                     [
                         "I am with my friends",
@@ -393,7 +397,8 @@ with gr.Blocks(
                 sts_p2 = gr.Textbox(placeholder="Prompt Two",label= "Enter Query")
                 sts_btn = gr.Button("Run")
                 btnSTSStats = gr.Button("Display Training Metrics")
-                btnTensorLink2 = gr.Button(value="View Tensorboard Graphs", link="https://huggingface.co/Intradiction/text_classification_NoLORA/tensorboard") #to be changed
+                btnTensorLinkSTSCon = gr.Button(value="View Conventional Training Graphs", link="https://huggingface.co/rajevan123/STS-Conventional-Fine-Tuning/tensorboard")
+                btnTensorLinkSTSLora = gr.Button(value="View Lora Training Graphs", link="")
                 gr.Examples(
                     [
                         "the ball is green",